Visual Question-Answering for Thematic Maps (NFDI4Earth Incubator Lab 2025) (VISQAM)

Grunddaten zu diesem Projekt

Beschreibung

Visual question-answering (QA) helps users interpret complex visual information, making it easier and faster to gain insights also from maps and geospatial data in a variety of contexts. This project aims to create an open dataset tailored for thematic map-based QA systems, accompanied by a baseline model to demonstrate its usage. By compiling map images annotated with question-answer pairs, the dataset will enable Artificial Intelligence (AI) models to extract and interpret geographic and information from maps. The deliverables will include a curated dataset, a baseline model, documentation, and an evaluation report, all of which will be released under a permissive license to support further research on the topic.